Annotation

Image, text, and audio data is often multidimensional. To increase the usability of these complex datasets, annotation and tagging services identify important attributes. This allows you to make meaningful connections between data points, categorize those data points, and have information that is actionable.

Featured Case Study 1

Making Driving Safer through Machine Vision

Challenge

This client is using machine vision to develop next-generation rear-view cameras for cars. The algorithms need to be trained on large amounts of visual – still and video – data.

Solution

iMerit’s Solutions team integrated an interface to annotate both still images and videos. Our team can then annotate videos with moving bounding boxes identifying objects of interest. The bounding boxes can move seamlessly across frames, providing rich data points to algorithms.

Results

The client worked with iMerit over several months to annotate thousands of images and launched the first version of their product.

Featured Case Study 2

KinaTrax | World Series-Winning Machine Vision

Challenge

KinaTrax is developing a markerless motion capture system used by Major League Baseball (MLB) teams to measure their players’ performance, fatigue, and risk of injury. Using in-game footage of players captured from twelve different cameras, KinaTrax is building machine vision algorithms capable of analyzing the movements of MLB pitchers. MLB teams can then use these analyses in order to make decisions about player health, performance, and safety.

Solution

iMerit teams are involved in the KinaTrax process from end-to-end. We first process in-game video footage of players and create still images from the footage. We then annotate the images based on the needs of the KinaTrax algorithms. These images are fed back into KinaTrax processes for ongoing analysis and distribution to MLB teams.

Results

iMerit teams created accurate 3D models for over 300 MLB pitchers. These models are used as foundations for ongoing in-game analysis by KinaTrax and were used by the 2016 Chicago Cubs in their historic World Series win.

Segmentation

Images are dense with information, at a granularity you may not always need. Through image segmentation, we subdivide an image into segments, each unique from the others. It could be segmenting “water” and “land,” or something more complex. With this segmentation, we ensure you have the data you need to take action, rather than a mass of data that’s just a mess.

Featured Case Study 1

Building Virtual Reality, One Pixel at a Time

Challenge

This unicorn machine vision startup faced a large task: how to get confidential images tagged, segmented, and categorized quickly and discreetly. The client needed a solution that was not only accurate, but secure and seamless from end-to-end. While anonymous crowds provided speed, they did not guarantee security, nor were they flexible enough to fit the client’s workflow. In-house options, while secure, were expensive and slow.

Solution

iMerit built a workflow specifically for this client’s needs, and trained teams of workers to securely and quickly annotate client images exactly for their requirements. As new projects – with new requirements – rolled in, iMerit workers were able to quickly adapt their previous learnings and tackle new challenges. We now work with images of facial features, real-world captures, and human gestures.

Results

In the pilot phase, iMerit segmented nearly 35,000 complex images in two weeks, and we have not stopped since then! Each day, hundreds of accurately tagged image files flow from iMerit into this client’s systems, ensuring that they build robust algorithms and build the next generation of machine vision.

Featured Case Study 2

Challenge

The client is a renowned global automobile manufacturer and a major contender in the autonomous vehicles segment. They need tremendous volumes of data, segmented with the utmost precision, pixel by pixel, into meaningful classes of objects. This is used to train the machine learning algorithm for their driverless car and help it understand its environment completely for a smooth and safe experience.

Solution

iMerit employs a team of visual data experts that performs semantic segmentation on thousands of street images everyday. They label these images pixel by pixel into pre-determined classes of objects, ultimately dividing the image into semantically meaningful parts. This is done with utmost precision and reviewed by quality experts in parallel to ensure >95% accuracy.

Results

Our team has segmented over 100,000 images so far and continues to work with a similar volume now. These image datasets help train the machine learning algorithm not just “see” but understand interpret its environment. Passengers can then be assured of a safe experience on the road and the vehicle itself will be optimized for seamless functionality.

Featured Case Study 1

NEHGS| Helping Genealogy Transform from Handwritten to Digital

Challenge

The New England Historic Genealogical Society is the leading comprehensive resource for family history research and the largest Society of its kind in the world. Their repository of handwritten historical records needed to be digitized for which they introduced the multi-collaboration Historic Catholic Records Online project.

Solution

iMerit’s Solutions team provided an end-to-end implementation for transcribing these records including the tools, workforce and quality check. Our team put their data through our in-house image viewer with custom text fields for the transcription and a name-guessing interface that correlated with the Catholic name database. iMerit was the main collaboration partner for NEHGS for the transcription of candidate records of birth, marriage and baptism in four languages – English, Latin, Italian, and French.

Results

iMerit transcribed more than 200000 candidate records of birth, marriage and baptism. This helped NEHGS create a searchable directory using which people can access their ancestral records and get more information about their genealogy. Batches of our work are contributing to the collection of millions of digitized sacramental records in an online, searchable database.

Featured Case Study 2

Streamlining Workflow and Backend Data Processing Support

Challenge

Our client is a FinTech payroll lending organization that offers their customers money in between paychecks. However, they did not have the in-house resources to handle the influx of customer data processing. To provide the best service, high-volume backend data processing support needed to be completed accurately within 15min of receiving the request.

Solution

The client approached iMerit to tune a curated, in-house team of data experts and project managers to handle the influx of data processing needs. iMerit provides backend data processing support in 4 queues – Timesheet, Payroll, Employer Location matching, and Employer Entity Matching. Our team of data experts offers 24/7 online service on the client’s portal, working as an extension of their workforce.

Results

By having an in-house team of data experts, the iMerit team was able to identify efficiencies in the process to bring turnaround time down to an average of 10min. iMerit has effectively and efficiently processed over 100k pieces of information. This has led to a more streamlined workflow and seamless backend processing with record turnaround times for this FinTech client.

Categorization

By grouping similar items – from images to service tickets – into coherent categories, iMerit’s categorization services make messy data easily understood. Our teams can rapidly and accurately categorize your content by multiple attributes for any end-purpose.

Featured Case Study 1

Challenge

Teespring is a custom apparel company that receives thousands of unique, user-submitted merchandise designs every day. For optimal customer experience, they needed to maximize search relevance on their site. To ensure this, they needed to get their user-submitted designs categorized and labeled based on their contents, and style. This required input from a flexible team that could respond to spikes in submissions, while providing reliable, high-quality results and ongoing improvements.

Solution

iMerit’s Solutions team worked with Teespring to develop an end-to-end tool for item moderation and categorization process which handled more than 5000 unique items each day. Our team of commerce taxonomy experts reviewed and optimized the taxonomy system before it was put to use. Designs could be placed in multiple categories and levels, to ensure search relevance across a variety of customer queries . Our team categorized more than 5000 queries each day, enabling Teespring to keep up with influxes of new designs.

Results

Teespring was able to enhance their customer experience tremendously based on the categorization done by the iMerit team. Their search relevance improved, leading to higher conversion rates, record number of orders and an increasing customer base.

Featured Case Study 2

1.1 Million and Counting: Keeping Users Safe & Happy

Challenge

What happens when you have millions of users whose safety and satisfaction are critical? What if you have millions of secure service tickets that you need processed in real-time? This global ride-sharing client company faced these challenges and needed a curated, secure workforce as a 24/7 solution to triage these tickets while maintaining both speed and quality.

Solution

iMerit data experts reviewed each secure service ticket as they came in, marked the urgency level, and assigned topical content tags. They used their expert judgement to review rider feedback and rate the level of safety concern on a pre-determined scale. For this project our team used a platform that fed seamlessly into the client’s internal systems, ensuring that data was completely secure and transmitted in time.

Results

iMerit teams have triaged over 1.1 million secure service tickets. These teams have also processed huge, unforeseen spikes in incoming tickets, ramping up to several hundred workers over the course of one weekend alone. This flexibility gave our client stability and a continued spotless record of customer support.

Extraction

We combine human intelligence with automated extraction of named entities (for example: persons, places, and organizations). This ensures the incorporation of relevant contextual information in your data collection processes. The result? You get accurate and reliable information for your most critical datasets.

Featured Case Study 1

Keeping Corporate Financial Databases Updated in Real-time

Challenge

The client, a global financial data and media company, maintains a highly accurate database in real-time of corporate financial data. They needed a team of highly secure, curated financial data experts to work on extracting the important data points from the financial documents released by their customers.

Solution

iMerit’s team of in-house financial data experts work on complex, non-standardized financial documents released by global public corporations. They work in 24/7 cycles, online on the client platform to extract the critical data points from these documents into standardized datasets. This requires domain data expertise. Our team works under a NDA in highly secure conditions as the data is highly confidential.

Results

The client’s platform of corporate financial data serves the global financial industry. It is essential to keep this up-to-date in real-time while providing value-added data with a high degree of accuracy. iMerit’s team of experts ensures that this is achieved in time, with complete security and high quality.

Featured Case Study 2

Displaying the Right Specifications for a Product to Enhance Buyer Experience

Challenge

The client was a major online home improvement company that needed to display a diverse array of products on their site with the right specification fields. This required a lot of research and extraction of key attributes for each product from disorganized data spread across several online sources. This was essential to enhance buyer experience for the client’s platform and to ensure targeted conversion rates.

Solution

iMerit’s team of data experts first found the attributes for each assigned product across multiple websites through extensive research. They then extracted critical attributes from this scattered data. They ensured that data integrity and consistency was maintained across classes of products. Our team was also responsible for working with the client to set up a standardization system for product attributes across the entire website.

Results

This project was both complex and time-consuming, requiring discerning judgement and constant attention to quality. Attribute mining was done for record volumes of products, enabling the client to have a functional product catalog well within time. The consistency and integrity ensured by our team made the client site seamless with respect to product search.

Moderation

Ensuring the relevance and appropriateness of content in your marketplace, site, or database is crucial to the experience of your users. It can, though, be time consuming. Our moderation services use automated and human intelligence to deliver datasets that are understandable at a glance.

Featured Case Study 1

Authenticating Claims for a Smoother Travel Experience

Challenge

The client, a leading global travel website, needs to field incoming requests from both owners and users in real time. These requests contain corrections, issue reports, and requests to change information about travel destinations, restaurants, and more.

Solution

The iMerit team approves or rejects each update and the person who submitted the update request is personally notified of the decision. To do this, our experts identify who sent the correction, review relevant existing information, verify the existing data point, review the update, and then strengthen the data point with additional research.

Results

The project team reviews up to 700 requests everyday and responds within 24 hours of submission. This enables the client to provide enhanced customer service and authentic information for their own customers in time.

Featured Case Study 2

Gauging the Authenticity of Insurance Claims through Image Moderation

Challenge

The client is a unique company transforming the insurance industry by combining mobility with manpower. They have a rapidly growing database of user-submitted reports and pictures that need to be assessed rapidly for appropriate content and compared against claim reports to verify the authenticity of the claims.

Solution

Visual data experts from iMerit receive thousands of user-submitted images every month. They assess these for appropriate content and verify the images against those submitted in claim reports. This task requires commitment to speed, precise attention to detail and very high quality. Images processed in this way are also sent through a quality check cycle before final delivery to the client.

Results

High volumes of image data processed at >97% quality enables the client to maintain a seamless 24/7 inspection and data processing workflow. This helps their customers make informed decisions on claims by making high quality data available for them to aid their decision-making process.

Sentiment Analysis

If you don’t understand users’ thoughts and feelings, how can you ensure their satisfaction? We unite automated language analysis with human intelligence, to quickly deliver valuable analyses of a speaker’s tone and feelings, as well as the content of their message.

Featured Case Study 1

Estimating Product Performance by Judging Tweet Attitudes

Challenge

The client needed to get an idea of the customer sentiment surrounding their new product. They aimed to do this by analyzing and categorizing thousands of tweets about this product. They did not possess the in-house capacity to do such critical analysis and needed a curated team providing expert human judgement.

Solution

iMerit assembled a curated team of data experts that provided value-added judgement to analyze thousands of tweets. They analyzed each tweet separately, classifying the sentiment associated with it as positive, negative or neutral. A record number of tweets were analyzed in two months.

Results

The client got high-quality results from this sentiment analysis of product tweets. The feedback provided by our team was consistent in quality and integrity. It helped the client evaluate customer sentiment and use this feedback to introduce design improvements in their product.

Featured Case Study 2

1.1 Million and Counting: Keeping Users Safe & Happy

Challenge

What happens when you have millions of users whose safety and satisfaction are critical? What if you have millions of secure service tickets that you need processed in real-time? This global ride-sharing client company faced these challenges and needed a curated, secure workforce as a 24/7 solution to triage these tickets while maintaining both speed and quality.

Solution

iMerit data experts reviewed each secure service ticket as they came in, marked the urgency level, and assigned topical content tags. They used their expert judgement to review rider feedback and rate the level of safety concern on a pre-determined scale. For this project our team used a platform that fed seamlessly into the client’s internal systems, ensuring that data was completely secure and transmitted in time.

Results

iMerit teams have triaged over 1.1 million secure service tickets. These teams have also processed huge, unforeseen spikes in incoming tickets, ramping up to several hundred workers over the course of one weekend alone. This flexibility gave our client stability and a continued spotless record of customer support.

Enrichment

Your initial datasets may be messy, incomplete, or mis-formatted in addition to being very large. Our data enrichment is there to add clarity and insight by including missing data, cleaning existing data, and more. To help you keep your finger on the pulse of trends, we also combine automated processes like RSS feeds with expert human judgement to aggregate data/content you need on a 24/7 basis.

Featured Case Study 1

Financial Data Extraction, Transcription, Moderation

Challenge

Data in the financial industry must be up-to-date, highly precise, and gathered from a number of sources. Our client, a global financial data and media company needed to gather information on earnings calls, transcribe call recordings, and extract data on international funds. These diverse streams of data are critical to their in-house knowledge, must be accurate and updated in real-time on their online platform.

Solution

iMerit teams of financial data experts used multi-step processes to gather information from recordings, calendars, and documents. They extracted critical information and built datasets according to the client’s requirements.Our teams leveraged existing client processes, added automation where required, and wove human intelligence into the process. Results were passed through quality control mechanisms to ensure maximum accuracy.

Results

The accuracy of the project has inspired other teams within the client company to seek out iMerit solutions to their data challenges. Our teams have exceeded client expectations, ensuring accurate data, updated 24/7 online. For example, our team enriched data from 3,500 funds within one day. For another project, they collected, validated and enriched content on 50,000 industry movers and shakers per month.

Featured Case Study 2

Helping Travelers make Informed Decisions on Hotels

Challenge

The client was one of the largest global travel sites and one of the early adopters of user-generated content. This content needed to be curated, verified and completed wherever there were pieces of missing information, before uploading to the client site. They need a secure, curated team of experts with high attention to detail for this.

Solution

iMerit’s team of data experts worked in a secure facility to process more than 20,000 data points for the client. Each data point had 122 attribute fields that had to be verified and enriched individually. The enriched data was then aggregated for each data point and verified again by our quality experts before delivery. Our team scaled up to 50 members and maintained a constant accuracy rate of >95% throughout the workflow.

Results

The client was able to display authentic user-generated content on their site. They were also able to keep up with influxes of newly-generated user-content and verify them rapidly through our 24/7 online team and workflow. This allowed their customers to have a richer online experience with authentic information and contributed significantly to customer retention.

Verification

Ensuring the security of your users is a fundamental part of your company. Verification and validation play a large role in that. Our verification and validation teams vet new users, identify fraudulent activity, respond to service inquiries and look to ensure that you’re working only with real, verifiable customers.

Featured Case Study 1

Earning Consumer Trust by Curating Content and Preventing Fraud

Challenge

The client was one of the largest global online marketplaces dealing with hundreds of thousands of product images daily. They needed high quality curation of these product images to ensure removal of duplicate products and identification of spammy items. They were already using a computer vision algorithm to pick out duplicates but needed human judgement to evaluate the accuracy of output from the algorithm.

Solution

Image data experts from iMerit were able to successfully process large batches of image data for the client in time. They identified duplicate items on sale, measured fraud rates and flagged spammy items. They also helped the client evaluate their own vision algorithm by verifying its output against their own results. Our teams worked with the first batch of around 130,000 images in less than the expected timeframe.

Results

The client was able to improve customer trust and safety tremendously using this data. It helped them assess fraud rates and ensure authentic product listings on their site. Their core teams were also thrice as productive due to the verification and validation work done by the iMerit team. They were able to improve the functionality of their algorithm based on the feedback given by data experts from iMerit.

Featured Case Study 2

Helping Travelers make Informed Decisions on Hotels

Challenge

The client was one of the largest global travel sites and one of the early adopters of user-generated content. This content needed to be curated, verified and completed wherever there were pieces of missing information, before uploading to the client site. They need a secure, curated team of experts with high attention to detail for this.

Solution

iMerit’s team of data experts worked in a secure facility to process more than 20,000 data points for the client. Each data point had 122 attribute fields that had to be verified and enriched individually. The enriched data was then aggregated for each data point and verified again by our quality experts before delivery. Our team scaled up to 50 members and maintained a constant accuracy rate of >95% throughout the workflow.

Results

The client was able to display authentic user-generated content on their site. They were also able to keep up with influxes of newly-generated user-content and verify them rapidly through our 24/7 online team and workflow. This allowed their customers to have a richer online experience with authentic information and contributed significantly to customer retention.